Amirreza Salamat
About Amirreza Salamat
Amirreza Salamat is a Senior AI Enablement Engineer at CCC Intelligent Solutions in Chicago, Illinois, with a strong background in Artificial Intelligence and Electrical Engineering. He has experience in machine learning research and has developed an intelligent agent for personalized recommendations in an LMS environment.
Work at CCC Intelligent Solutions
Amirreza Salamat has been employed at CCC Intelligent Solutions since 2020. He began his tenure as an AI Enablement Intern, where he gained foundational experience in artificial intelligence applications. In 2021, he transitioned to the role of AI Enablement Engineer, and in 2022, he was promoted to Senior AI Enablement Engineer. In this capacity, he has contributed to various AI initiatives and projects, leveraging his expertise to enhance the company's technological capabilities. His current position is based in Chicago, Illinois.
Education and Expertise
Amirreza Salamat holds a Master's degree in Artificial Intelligence from Purdue University, where he studied from 2018 to 2020. Prior to this, he completed a Bachelor's degree at Amirkabir University of Technology - Tehran Polytechnic from 2013 to 2017. His educational background in Electrical Engineering, combined with his focus on Computer Engineering and Data Science, equips him with a strong foundation in both theoretical and practical aspects of technology.
Background
Amirreza Salamat has a diverse background that includes significant experience in machine learning and artificial intelligence. He worked as a Machine Learning Researcher at CourseNetworking from 2018 to 2020, where he engaged in research and development projects. His academic and professional experiences have shaped his passion for the intersection of Mathematics and Software Development, particularly in Data Science and Machine Learning.
Achievements
During his academic career, Amirreza developed Rumi, an intelligent agent designed for a Learning Management System (LMS) at IUPUI CyberLab. This project utilized machine learning techniques to deliver personalized recommendations to users, showcasing his ability to apply theoretical knowledge in practical settings. His work reflects a commitment to advancing the capabilities of AI in educational environments.